This　paper　uses　the　Entropy　Weight　Method-Grey　Relational　Analysis　(EWM-GRA)　and　Covariance　Base　Structural　Equations　Model　(CB-SEM)　to　study　the　relationships　between　driving　habits　and　efficiency.　EWM-GRA　ranks　12　indicators　in　terms　of　their　relevance　of　lane-changing　and　driving　efficiency.　Based　on　this,　a　CB-SEM-based　framework　to　describe　the　relevance　between　driving　habits　and　lane-changing　is　established,　focusing　on　the　effects　of　lane-changing　and　car-following　behaviour.　To　validate　the　established　framework,　NGSIM　trajectory　data　is　used　as　measurement　variables　to　describe　latent　variables.　Several　hypotheses　about　the　relationships　between　the　latent　variables　in　this　framework　are　proposed,　and　they　are　verified　using　trajectory　data.　The　results　show　that　driving　habits　have　a　direct　impact　on　efficiency,　and　this　impact　becomes　more　significant　when　associated　with　lane-change　behaviour.　This　paper　uses　the　Entropy　Weight　Method-Grey　Relational　Analysis　(EWM-GRA)　and　Covariance　Base　Structural　Equations　Model　(CB-SEM)　to　study　the　relations　between　driving　habits　and　efficiency.　To　validate　the　established　framework,　NGSIM　trajectory　data　are　used　as　measurement　variables　to　describe　latent　variables.　Our　results　show　that　driving　habits　impose　a　direct　impact　on　efficiency,　and　this　impact　becomes　more　marked　when　associated　with　lane-change　behaviour.　image